⚡ I Built the SQLite of Vector Search in ~120KB of Pure C & SIMD If you're building LLM agents, local RAG systems, or CLI tools in Python today, you've likely faced the vector database dependency nightmare . To store a few thousand embeddings from a conversation history or document chunks, standard tutorials tell you to pip install chromadb or install FAISS. Here is what happens under the hood: Over 35 transitive dependencies are downloaded into your virtual environment ...